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Achieving 88% accuracy in detecting pasture restoration from satellite imagery reveals the potential and pitfalls of using deep learning in ecological monitoring.
Early design choices in the mapping pipeline can silently propagate errors, jeopardizing the reliability of large-scale geospatial maps.
